Building a Data Exchange with Spring Cloud Data Flow

October 9, 2019

A Data eXchange in the context of this talk is a system or group of applications that gets data from various sources, validates and transforms that data, and then disseminates the data to various consumers; maybe an evolution of the traditional ETL concept. The Banking Technology team at Schwab is building a Data eXchange with Spring Cloud Data Flow based on a set of finite patterns for data consumption and dissemination that facilitate reuse, pattern-based architecture and implementations, industry standard protocols and security, and data governance. The talk would be a case study in the distillation of the finite patterns on "each side of the exchange" and a discussion of the patterns and how they facilitate each of the items above. Additionally, we'll touch on the analysis we go through as we look at a data pipeline and discuss the merits of whether it fits better into the stream paradigm or the batch paradigm. Speaker: Channing Jackson, Technical Director, Charles Schwab & Co., Inc. Filmed at SpringOne Platform 2019 Slides: https://www.slideshare.net/Pivotal/building-a-data-exchange-with-spring-cloud-data-flow

Previous
Barbara Sanders at SpringOne Platform 2019
Barbara Sanders at SpringOne Platform 2019

SpringOne Platform 2019 - Day 2 Keynote Speakers: Barbara Sanders, The Home Depot Watch the presentations f...

Next Video
Pat Gelsinger, James Watters, Cornelia Davis at SpringOne Platform 2019
Pat Gelsinger, James Watters, Cornelia Davis at SpringOne Platform 2019

SpringOne Platform 2019 - Day 1 Keynote Speakers: James Watters, Pat Gelsinger, Cornelia Davis Watch the pr...

SpringOne. Catch all the highlights

Watch now